Ai-ml Projects
Browse my ai-ml work tagged with "deep-learning".
AWS Lambda & Amazon Bedrock: Benchmarking TF-IDF, LSTM, and Zero-Shot LLM Sentiment Analysis
Ai-mlA full ML pipeline benchmarking TF-IDF + Logistic Regression, a Keras LSTM, and Claude Haiku via Amazon Bedrock on 50,000 IMDb reviews. The winning model is deployed live as a serverless REST API on AWS Lambda with a Flask frontend.
Anime Face GAN — DCGAN on 63,000 Training Images
Ai-mlGenerates anime faces using a DCGAN trained on 63,000 images. Every face is produced from random noise — none of them exist. Trained on Google Colab T4 GPU. Includes latent space interpolation showing smooth morphing between faces.
CNN Food Classifier
Ai-mlI built a convolutional neural network that classifies food images into 101 categories using two-stage transfer learning with MobileNetV2. Upload any food photo and get instant top-3 predictions with confidence scores — live on Hugging Face Spaces.
Digit Recognizer — CNN on MNIST
Ai-mlDraw a digit on the canvas — the CNN predicts it in real time. Trained on 60,000 MNIST images. Confidence score and probability bar chart across all 10 digits. Live on Azure App Service.
Email Subject Generator — T5 Transformer
Ai-mlT5-small fine-tuned on the AESLC corpus (14k Enron email/subject pairs) to generate professional subject lines from an email body. Five suggestions returned at varying temperature levels — from beam-search conservative to top-p creative sampling.
Stock Trend Pattern Recognition — Amazon SageMaker MLOps
Ai-mlStacked LSTM for stock trend pattern detection, served via Amazon SageMaker Real-Time Endpoint. Flask frontend on Azure App Service — multi-cloud MLOps. Pattern detection only, not financial advice.
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